- Utilize PySpark/DataBricks for big data processing tasks such as ETL processes.
- Develop complex SQL queries to optimize database performance and troubleshoot issues in Snowflake databases.
- Collaborate with cross-functional teams to gather requirements for data processing needs and design solutions that meet business needs.
- Design, develop, test, deploy, and maintain large-scale data pipelines using Azure Data Factory (ADF) to extract, transform, and load data from various sources into Snowflake.
Desired Candidate Profile
- 6-11 years of experience in designing and developing large-scale data pipelines using ADF or similar tools like Azure Databricks.
- Solid understanding of SQL programming language with expertise in writing efficient queries for query optimization on Snowflake DBs.
- Proficiency in working with PySpark/DataBricks for big data processing tasks such as ETL processes.
📌 Azure Data Engineer (Hyderabad)
🏢 RandomTrees
📍 Hyderabad
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